Moreover, we plan to improve the quality of the simplified target sentences in our corpus in accordance with the insights we gained through the analyses described above. First of all, we will perform a detailed error analysis of the output to determine the most common types of mistakes and get some starting points for further improving our heuristics for filtering out malformed simplifications. To enhance the syntactic correctness of the output, we will train a classifier on the recently proposed CoLA dataset [1]} to eliminate instances with ungrammatical target sentences from our corpus. In addition, special attention will be given to improving the heuristics that ensure that each simplified target sentence represents a single semantic unit.
